{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Getting Data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "*author: Joseph Montoya*\n",
    "\n",
    "This notebook demonstrates a few basic examples from matminer's data retrieval features.  Matminer supports data retrieval from the following sources.\n",
    "\n",
    "* [Materials Project](https://materialsproject.org)\n",
    "* [Citrine Informatics](https://citrination.com)\n",
    "* [The Materials Platform for Data Science (MPDS)](https://mpds.io) \n",
    "* [The Materials Data Facility](https://materialsdatafacility.org/)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This notebook was last updated 11/15/18 for version 0.4.5 of matminer."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Each resource has a corresponding object in matminer designed for retrieving data and preprocessing it into a pandas dataframe.  In addition, matminer can also access and aggregate data from your own [mongo database](https://www.mongodb.com/), if you have one.\n",
    "\n",
    "![data retrieval](data_retrieval.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Materials Project"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The materials project data retrieval tool, `matminer.data_retrieval.retrieve_MP.MPDataRetrieval` is initialized using an api_key that can be found on your personal dashboard page on [materialsproject.org](materialsproject.org) if you've created an account.  If you've set your api key via pymatgen (e.g. `pmg config --add PMG_MAPI_KEY YOUR_API_KEY_HERE`), the data retrieval tool may be initialized without an input argument."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from matminer.data_retrieval.retrieve_MP import MPDataRetrieval"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "mpdr = MPDataRetrieval() # or MPDataRetrieval(api_key=YOUR_API_KEY here)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Getting a dataframe corresponding to the materials project is essentially equivalent to using the MPRester's query method.(see [`pymatgen.ext.matproj.MPRester`](http://pymatgen.org/_modules/pymatgen/ext/matproj.html))  The inputs are  `criteria`, a mongo-style dictionary with which to filter the data, and `properties`, a list of supported properties which to return.  See the [MAPI documentation](https://github.com/materialsproject/mapidoc/tree/master/materials) for a list of and information about supported properties."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Example 1: Get densities of all elemental materials, i. e. those that contain one element"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 565 entries on MP with 1 element\n"
     ]
    }
   ],
   "source": [
    "df = mpdr.get_dataframe(criteria={\"nelements\": 1}, properties=['density', 'pretty_formula'])\n",
    "print(\"There are {} entries on MP with 1 element\".format(df['density'].count()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>density</th>\n",
       "      <th>pretty_formula</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>material_id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>mp-862690</th>\n",
       "      <td>8.281682</td>\n",
       "      <td>Ac</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mp-10018</th>\n",
       "      <td>8.305509</td>\n",
       "      <td>Ac</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mp-124</th>\n",
       "      <td>9.948341</td>\n",
       "      <td>Ag</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mp-989737</th>\n",
       "      <td>9.922633</td>\n",
       "      <td>Ag</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mp-8566</th>\n",
       "      <td>9.909385</td>\n",
       "      <td>Ag</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              density pretty_formula\n",
       "material_id                         \n",
       "mp-862690    8.281682             Ac\n",
       "mp-10018     8.305509             Ac\n",
       "mp-124       9.948341             Ag\n",
       "mp-989737    9.922633             Ag\n",
       "mp-8566      9.909385             Ag"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Example 2: Get all bandgaps larger than 4.0 eV"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = mpdr.get_dataframe({\"band_gap\": {\"$gt\": 4.0}}, ['pretty_formula', 'band_gap'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 6232 entries on MP with a band gap larger than 4.0\n"
     ]
    }
   ],
   "source": [
    "print(\"There are {} entries on MP with a band gap larger than 4.0\".format(df['band_gap'].count()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.to_csv('ss.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Example 3: Get all VRH shear and bulk moduli from the \"elasticity\" sub-document for which no warnings are found"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = mpdr.get_dataframe({\"elasticity\": {\"$exists\": True}, \"elasticity.warnings\": []},\n",
    "                        ['pretty_formula', 'elasticity.K_VRH', 'elasticity.G_VRH'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 13934 elastic entries on MP with no warnings\n"
     ]
    }
   ],
   "source": [
    "print(\"There are {} elastic entries on MP with no warnings\".format(df['elasticity.K_VRH'].count()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>elasticity.K_VRH</th>\n",
       "      <th>elasticity.G_VRH</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>13934.00000</td>\n",
       "      <td>13934.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>100.56294</td>\n",
       "      <td>41.112315</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>71.93579</td>\n",
       "      <td>122.037330</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>-0.00000</td>\n",
       "      <td>-8480.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>44.00000</td>\n",
       "      <td>16.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>84.00000</td>\n",
       "      <td>33.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>144.00000</td>\n",
       "      <td>63.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>591.00000</td>\n",
       "      <td>5303.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       elasticity.K_VRH  elasticity.G_VRH\n",
       "count       13934.00000      13934.000000\n",
       "mean          100.56294         41.112315\n",
       "std            71.93579        122.037330\n",
       "min            -0.00000      -8480.000000\n",
       "25%            44.00000         16.000000\n",
       "50%            84.00000         33.000000\n",
       "75%           144.00000         63.000000\n",
       "max           591.00000       5303.000000"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now let us do a more sophisticated query and ask for more properties such as \"bandstructure\" and \"dos\" (density of states) that are stored as pymatgen objects. The query commands under criteria are common MongoDB syntax."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = mpdr.get_dataframe(criteria={\"elasticity\": {\"$exists\": True}, \n",
    "                         \"elasticity.warnings\": [],\n",
    "                         \"elements\": {\"$all\": [\"Pb\", \"Te\"]},\n",
    "                         \"e_above_hull\": {\"$lt\": 1e-6}}, # to limit the number of hits for the sake of time\n",
    "                        properties = [\"elasticity.K_VRH\", \"elasticity.G_VRH\", \"pretty_formula\", \n",
    "                                      \"e_above_hull\", \"bandstructure\", \"dos\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 3 elastic entries on MP with no warnings that contain Pb and Te with energy above hull ~ 0.0 eV\n"
     ]
    }
   ],
   "source": [
    "print(\"There are {} elastic entries on MP with no warnings that contain \"\n",
    "      \"Pb and Te with energy above hull ~ 0.0 eV\".format(df['elasticity.K_VRH'].count()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>elasticity.K_VRH</th>\n",
       "      <th>elasticity.G_VRH</th>\n",
       "      <th>pretty_formula</th>\n",
       "      <th>e_above_hull</th>\n",
       "      <th>bandstructure</th>\n",
       "      <th>dos</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>material_id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>mp-19717</th>\n",
       "      <td>40.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>TePb</td>\n",
       "      <td>0</td>\n",
       "      <td>&lt;pymatgen.electronic_structure.bandstructure.B...</td>\n",
       "      <td>Complete DOS for Full Formula (Te1 Pb1)\\nReduc...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mp-20740</th>\n",
       "      <td>25.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>Tl4Te3Pb</td>\n",
       "      <td>0</td>\n",
       "      <td>&lt;pymatgen.electronic_structure.bandstructure.B...</td>\n",
       "      <td>Complete DOS for Full Formula (Tl8 Te6 Pb2)\\nR...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mp-605028</th>\n",
       "      <td>34.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>Te2Pd3Pb2</td>\n",
       "      <td>0</td>\n",
       "      <td>&lt;pymatgen.electronic_structure.bandstructure.B...</td>\n",
       "      <td>Complete DOS for Full Formula (Te4 Pd6 Pb4)\\nR...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             elasticity.K_VRH  elasticity.G_VRH pretty_formula  e_above_hull  \\\n",
       "material_id                                                                    \n",
       "mp-19717                 40.0              24.0           TePb             0   \n",
       "mp-20740                 25.0              13.0       Tl4Te3Pb             0   \n",
       "mp-605028                34.0              16.0      Te2Pd3Pb2             0   \n",
       "\n",
       "                                                 bandstructure  \\\n",
       "material_id                                                      \n",
       "mp-19717     <pymatgen.electronic_structure.bandstructure.B...   \n",
       "mp-20740     <pymatgen.electronic_structure.bandstructure.B...   \n",
       "mp-605028    <pymatgen.electronic_structure.bandstructure.B...   \n",
       "\n",
       "                                                           dos  \n",
       "material_id                                                     \n",
       "mp-19717     Complete DOS for Full Formula (Te1 Pb1)\\nReduc...  \n",
       "mp-20740     Complete DOS for Full Formula (Tl8 Te6 Pb2)\\nR...  \n",
       "mp-605028    Complete DOS for Full Formula (Te4 Pd6 Pb4)\\nR...  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's look at the band structure and density of states of some of these stable compounds that contain Pb and Te which are interesting for thermoelectrics applications:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/daniel/.conda/envs/matminer/lib/python3.6/site-packages/pymatgen/electronic_structure/plotter.py:2179: UserWarning:\n",
      "\n",
      "Cannot get element projected data; either the projection data doesn't exist, or you don't have a compound with exactly 2 or 3 unique elements.\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 792x612 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "from pymatgen.electronic_structure.plotter import BSDOSPlotter\n",
    "\n",
    "mpid = 'mp-20740'\n",
    "idx = df.index[df.index==mpid][0]\n",
    "plt = BSDOSPlotter().get_plot(bs=df.loc[idx, 'bandstructure'], dos=df.loc[idx, 'dos']);\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Citrine informatics"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The Citrination data retrieval tool, `matminer.data_retrieval.retrieve_Citrine.CitrineDataRetrieval` is initialized using an api_key that can be found on your \"Account Settings\" tab under your username in the upper right hand corner of the user interface at [citrination.com](citrination.com).  You can also set an environment variable, `CITRINE_KEY` to have your API key read automatically by the citrine informatics python API, (e. g. put `export CITRINE_KEY=YOUR_API_KEY_HERE` into your .bashrc)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "from matminer.data_retrieval.retrieve_Citrine import CitrineDataRetrieval"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Example 1: Get band gaps of various entries with formula PbTe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "cdr = CitrineDataRetrieval() # or CitrineDataRetrieval(api_key=YOUR_API_KEY) if $CITRINE_KEY is not set"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 7/7 [00:00<00:00, 73.09it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "all available fields:\n",
      "['chemicalFormula', 'Band gap-dataType', 'references', 'Band gap', 'Band gap-conditions', 'category', 'uid', 'Crystallinity', 'Band gap-units', 'Band gap-methods']\n",
      "\n",
      "suggested common fields:\n",
      "['chemicalFormula', 'references', 'Band gap', 'Band gap-conditions', 'Band gap-dataType', 'Band gap-methods', 'Band gap-units', 'Crystallinity']\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "df = cdr.get_dataframe(criteria={'formula':'Si', 'data_type': 'EXPERIMENTAL'}, \n",
    "                       properties=['Band gap'],\n",
    "                       secondary_fields=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "cdr.get_dataframe?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Example 2: Get adsorption energies of O\\* and OH\\*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 9/9 [00:00<00:00, 15.47it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "all available fields:\n",
      "['chemicalFormula', 'Surface facet', 'Adsorption energy of OH-conditions', 'references', 'Morphology', 'category', 'uid', 'Adsorption energy of OH-units', 'Adsorption energy of OH', 'Adsorption energy of OH-dataType']\n",
      "\n",
      "suggested common fields:\n",
      "['chemicalFormula', 'references', 'Adsorption energy of OH', 'Adsorption energy of OH-conditions', 'Adsorption energy of OH-dataType', 'Adsorption energy of OH-units', 'Morphology', 'Surface facet']\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 21/21 [00:00<00:00, 35.11it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "all available fields:\n",
      "['Reconstruction', 'chemicalFormula', 'Surface facet', 'references', 'Adsorption energy of O-units', 'category', 'uid', 'Adsorption energy of O-conditions', 'Adsorption energy of O']\n",
      "\n",
      "suggested common fields:\n",
      "['chemicalFormula', 'references', 'Adsorption energy of O', 'Adsorption energy of O-conditions', 'Adsorption energy of O-units', 'Reconstruction', 'Surface facet']\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "df_OH = cdr.get_dataframe(criteria={}, properties=['adsorption energy of OH'], secondary_fields=True)\n",
    "df_O = cdr.get_dataframe(criteria={}, properties=['adsorption energy of O'], secondary_fields=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>chemicalFormula</th>\n",
       "      <th>references</th>\n",
       "      <th>Adsorption energy of OH</th>\n",
       "      <th>Adsorption energy of OH-conditions</th>\n",
       "      <th>Adsorption energy of OH-dataType</th>\n",
       "      <th>Adsorption energy of OH-units</th>\n",
       "      <th>Morphology</th>\n",
       "      <th>Surface facet</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Pt</td>\n",
       "      <td>[{'citation': '10.1039/c2cc30281k', 'doi': '10...</td>\n",
       "      <td>2.44</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>eV</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(111)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Cu</td>\n",
       "      <td>[{'citation': '10.1016/s1872-2067(12)60642-1',...</td>\n",
       "      <td>-3.55</td>\n",
       "      <td>NaN</td>\n",
       "      <td>COMPUTATIONAL</td>\n",
       "      <td>eV</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(211)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ZnO</td>\n",
       "      <td>[{'citation': '10.1016/s1872-2067(12)60642-1',...</td>\n",
       "      <td>-3.03</td>\n",
       "      <td>NaN</td>\n",
       "      <td>COMPUTATIONAL</td>\n",
       "      <td>eV</td>\n",
       "      <td>Thin film</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Fe</td>\n",
       "      <td>[{'citation': '10.1016/j.corsci.2012.11.011', ...</td>\n",
       "      <td>-3.95</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>eV</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(100)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Pt</td>\n",
       "      <td>[{'citation': '10.1021/jp807094m', 'doi': '10....</td>\n",
       "      <td>2.71</td>\n",
       "      <td>[{'name': 'Site', 'scalars': [{'value': 'Top s...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>eV</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(111)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  chemicalFormula                                         references  \\\n",
       "1              Pt  [{'citation': '10.1039/c2cc30281k', 'doi': '10...   \n",
       "2              Cu  [{'citation': '10.1016/s1872-2067(12)60642-1',...   \n",
       "3             ZnO  [{'citation': '10.1016/s1872-2067(12)60642-1',...   \n",
       "4              Fe  [{'citation': '10.1016/j.corsci.2012.11.011', ...   \n",
       "5              Pt  [{'citation': '10.1021/jp807094m', 'doi': '10....   \n",
       "\n",
       "  Adsorption energy of OH                 Adsorption energy of OH-conditions  \\\n",
       "1                    2.44                                                NaN   \n",
       "2                   -3.55                                                NaN   \n",
       "3                   -3.03                                                NaN   \n",
       "4                   -3.95                                                NaN   \n",
       "5                    2.71  [{'name': 'Site', 'scalars': [{'value': 'Top s...   \n",
       "\n",
       "  Adsorption energy of OH-dataType Adsorption energy of OH-units Morphology  \\\n",
       "1                              NaN                            eV        NaN   \n",
       "2                    COMPUTATIONAL                            eV        NaN   \n",
       "3                    COMPUTATIONAL                            eV  Thin film   \n",
       "4                              NaN                            eV        NaN   \n",
       "5                              NaN                            eV        NaN   \n",
       "\n",
       "  Surface facet  \n",
       "1         (111)  \n",
       "2         (211)  \n",
       "3           NaN  \n",
       "4         (100)  \n",
       "5         (111)  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_OH.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>chemicalFormula</th>\n",
       "      <th>references</th>\n",
       "      <th>Adsorption energy of O</th>\n",
       "      <th>Adsorption energy of O-conditions</th>\n",
       "      <th>Adsorption energy of O-units</th>\n",
       "      <th>Reconstruction</th>\n",
       "      <th>Surface facet</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Fe</td>\n",
       "      <td>[{'citation': '10.1016/j.jcat.2007.04.018', 'd...</td>\n",
       "      <td>-5.42</td>\n",
       "      <td>NaN</td>\n",
       "      <td>eV</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(111)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Pt</td>\n",
       "      <td>[{'citation': '10.1002/cctc.201100308', 'doi':...</td>\n",
       "      <td>1.53</td>\n",
       "      <td>NaN</td>\n",
       "      <td>eV</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(111)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Pt</td>\n",
       "      <td>[{'citation': '10.1021/jp307055j', 'doi': '10....</td>\n",
       "      <td>-4.54</td>\n",
       "      <td>NaN</td>\n",
       "      <td>eV</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(111)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Co</td>\n",
       "      <td>[{'citation': '10.1021/jp710674q', 'doi': '10....</td>\n",
       "      <td>2.37</td>\n",
       "      <td>[{'name': 'Site', 'scalars': [{'value': 'FCC s...</td>\n",
       "      <td>eV</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0001)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Rh</td>\n",
       "      <td>[{'citation': '10.1007/bf00806980', 'doi': '10...</td>\n",
       "      <td>-300</td>\n",
       "      <td>NaN</td>\n",
       "      <td>kJ/mol</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(110)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  chemicalFormula                                         references  \\\n",
       "1              Fe  [{'citation': '10.1016/j.jcat.2007.04.018', 'd...   \n",
       "2              Pt  [{'citation': '10.1002/cctc.201100308', 'doi':...   \n",
       "3              Pt  [{'citation': '10.1021/jp307055j', 'doi': '10....   \n",
       "4              Co  [{'citation': '10.1021/jp710674q', 'doi': '10....   \n",
       "5              Rh  [{'citation': '10.1007/bf00806980', 'doi': '10...   \n",
       "\n",
       "  Adsorption energy of O                  Adsorption energy of O-conditions  \\\n",
       "1                  -5.42                                                NaN   \n",
       "2                   1.53                                                NaN   \n",
       "3                  -4.54                                                NaN   \n",
       "4                   2.37  [{'name': 'Site', 'scalars': [{'value': 'FCC s...   \n",
       "5                   -300                                                NaN   \n",
       "\n",
       "  Adsorption energy of O-units Reconstruction Surface facet  \n",
       "1                           eV            NaN         (111)  \n",
       "2                           eV            NaN         (111)  \n",
       "3                           eV            NaN         (111)  \n",
       "4                           eV            NaN        (0001)  \n",
       "5                       kJ/mol            NaN         (110)  "
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_O.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## MPDS - The Materials Platform for Data Science\n",
    "\n",
    "The [Materials Platform for Data Science](https://mpds.io/) interface is contained in `matminer.data_retrieval.retrieve_MPDS.MPDSDataRetrieval`, and is invoked using an API key and an optional endpoint.  Similarly to the Citrine and MP interfaces, MPDS can be invoked without specifying your API key if MPDS_KEY is set as an environment variable (e. g. put `export MPDS_KEY=YOUR_MPDS_KEY` into your .bashrc or .bash_profile)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "from matminer.data_retrieval.retrieve_MPDS import MPDSDataRetrieval"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "mpdsdr = MPDSDataRetrieval() # or MPDSDataRetrieval(api_key=YOUR_API_KEY)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The `get_dataframe` method of the MPDSDataRetrieval class uses a search functionality documented on the [MPDS website](http://developer.mpds.io/#Categories).  Basically, the `search` keyword argument should take a dictionary with keys and values corresponding to search categories and values.  Note that the search functionality of the MPDS interface may be severely limited without full (i.e. paid subscription) access to the database."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Got 5 hits\r\n"
     ]
    }
   ],
   "source": [
    "df = mpdsdr.get_dataframe(criteria={\"elements\": \"K-Ag\", \"props\": \"heat capacity\"})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Phase</th>\n",
       "      <th>Formula</th>\n",
       "      <th>SG</th>\n",
       "      <th>Entry</th>\n",
       "      <th>Property</th>\n",
       "      <th>Units</th>\n",
       "      <th>Value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>30000</td>\n",
       "      <td>KAg4I5 rt</td>\n",
       "      <td>213</td>\n",
       "      <td>P1201629-3</td>\n",
       "      <td>heat capacity at constant pressure</td>\n",
       "      <td>J K-1 g-at.-1</td>\n",
       "      <td>30.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>79286</td>\n",
       "      <td>K2NaAg3[CN]6 lt</td>\n",
       "      <td>12</td>\n",
       "      <td>P1307433-3</td>\n",
       "      <td>heat capacity at constant pressure</td>\n",
       "      <td>J K-1 g-at.-1</td>\n",
       "      <td>83.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>79286</td>\n",
       "      <td>K2NaAg3[CN]6 lt</td>\n",
       "      <td>12</td>\n",
       "      <td>P1307433-4</td>\n",
       "      <td>heat capacity at constant pressure</td>\n",
       "      <td>J K-1 g-at.-1</td>\n",
       "      <td>112.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>79286</td>\n",
       "      <td>K2NaAg3[CN]6 lt</td>\n",
       "      <td>12</td>\n",
       "      <td>P1307434-3</td>\n",
       "      <td>heat capacity at constant pressure</td>\n",
       "      <td>J K-1 g-at.-1</td>\n",
       "      <td>78.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>79286</td>\n",
       "      <td>K2NaAg3[CN]6 lt</td>\n",
       "      <td>12</td>\n",
       "      <td>P1307434-4</td>\n",
       "      <td>heat capacity at constant pressure</td>\n",
       "      <td>J K-1 g-at.-1</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Phase          Formula   SG       Entry  \\\n",
       "0  30000        KAg4I5 rt  213  P1201629-3   \n",
       "1  79286  K2NaAg3[CN]6 lt   12  P1307433-3   \n",
       "2  79286  K2NaAg3[CN]6 lt   12  P1307433-4   \n",
       "3  79286  K2NaAg3[CN]6 lt   12  P1307434-3   \n",
       "4  79286  K2NaAg3[CN]6 lt   12  P1307434-4   \n",
       "\n",
       "                             Property          Units  Value  \n",
       "0  heat capacity at constant pressure  J K-1 g-at.-1   30.5  \n",
       "1  heat capacity at constant pressure  J K-1 g-at.-1   83.0  \n",
       "2  heat capacity at constant pressure  J K-1 g-at.-1  112.0  \n",
       "3  heat capacity at constant pressure  J K-1 g-at.-1   78.0  \n",
       "4  heat capacity at constant pressure  J K-1 g-at.-1   11.0  "
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## MDF - The Materials Data Facility\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The MDF data retrieval tool, `matminer.data_retrieval.retrieve_MDF.MDFDataRetrieval` is initialized using a Globus initialization key.  Upon the first invocation of a MDFDataRetrieval object, you should be prompted with a string of numbers and letters you can enter on the MDF Globus authentication web site.  One advantage of this system is that it doesn't actually require authentication at all.  You can use `anonymous=True` and several of the MDF datasets will be available.  However, a number of them will not, and you will have to authenticate using the web to access the entirety of MDF."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "from matminer.data_retrieval.retrieve_MDF import MDFDataRetrieval"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "mdf_dr = MDFDataRetrieval(anonymous=True) # Or anonymous=False if you have a Globus login"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = mdf_dr.get_dataframe(criteria={'elements': ['Ag', 'Be'], 'sources': [\"oqmd\"]})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>crystal_structure.cross_reference.icsd</th>\n",
       "      <th>crystal_structure.number_of_atoms</th>\n",
       "      <th>crystal_structure.space_group_number</th>\n",
       "      <th>crystal_structure.volume</th>\n",
       "      <th>dft.converged</th>\n",
       "      <th>dft.cutoff_energy</th>\n",
       "      <th>dft.exchange_correlation_functional</th>\n",
       "      <th>files.0.data_type</th>\n",
       "      <th>files.0.filename</th>\n",
       "      <th>files.0.globus</th>\n",
       "      <th>...</th>\n",
       "      <th>oqmd.delta_e.units</th>\n",
       "      <th>oqmd.delta_e.value</th>\n",
       "      <th>oqmd.magnetic_moment.units</th>\n",
       "      <th>oqmd.magnetic_moment.value</th>\n",
       "      <th>oqmd.stability.units</th>\n",
       "      <th>oqmd.stability.value</th>\n",
       "      <th>oqmd.total_energy.units</th>\n",
       "      <th>oqmd.total_energy.value</th>\n",
       "      <th>oqmd.volume_pa.units</th>\n",
       "      <th>oqmd.volume_pa.value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>221</td>\n",
       "      <td>24.0794</td>\n",
       "      <td>True</td>\n",
       "      <td>520.0</td>\n",
       "      <td>PBE</td>\n",
       "      <td>ASCII text, with very long lines, with no line...</td>\n",
       "      <td>86132.json</td>\n",
       "      <td>globus://e38ee745-6d04-11e5-ba46-22000b92c6ec/...</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>bohr/atom</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>eV/atom</td>\n",
       "      <td>-3.105143</td>\n",
       "      <td>angstrom^3/atom</td>\n",
       "      <td>12.0397</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>NaN</td>\n",
       "      <td>4</td>\n",
       "      <td>225</td>\n",
       "      <td>40.8748</td>\n",
       "      <td>True</td>\n",
       "      <td>249.8</td>\n",
       "      <td>PBE</td>\n",
       "      <td>ASCII text, with very long lines, with no line...</td>\n",
       "      <td>113626.json</td>\n",
       "      <td>globus://e38ee745-6d04-11e5-ba46-22000b92c6ec/...</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>bohr/atom</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>eV/atom</td>\n",
       "      <td>-3.272963</td>\n",
       "      <td>angstrom^3/atom</td>\n",
       "      <td>10.2187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>221</td>\n",
       "      <td>25.2675</td>\n",
       "      <td>True</td>\n",
       "      <td>249.8</td>\n",
       "      <td>PBE</td>\n",
       "      <td>ASCII text, with very long lines, with no line...</td>\n",
       "      <td>537497.json</td>\n",
       "      <td>globus://e38ee745-6d04-11e5-ba46-22000b92c6ec/...</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>bohr/atom</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>eV/atom</td>\n",
       "      <td>-3.125454</td>\n",
       "      <td>angstrom^3/atom</td>\n",
       "      <td>12.6338</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>NaN</td>\n",
       "      <td>4</td>\n",
       "      <td>139</td>\n",
       "      <td>40.6980</td>\n",
       "      <td>True</td>\n",
       "      <td>520.0</td>\n",
       "      <td>PBE</td>\n",
       "      <td>ASCII text, with very long lines, with no line...</td>\n",
       "      <td>71045.json</td>\n",
       "      <td>globus://e38ee745-6d04-11e5-ba46-22000b92c6ec/...</td>\n",
       "      <td>...</td>\n",
       "      <td>eV/atom</td>\n",
       "      <td>0.201601</td>\n",
       "      <td>bohr/atom</td>\n",
       "      <td>NaN</td>\n",
       "      <td>eV/atom</td>\n",
       "      <td>0.201601</td>\n",
       "      <td>eV/atom</td>\n",
       "      <td>-3.320249</td>\n",
       "      <td>angstrom^3/atom</td>\n",
       "      <td>10.1745</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>NaN</td>\n",
       "      <td>4</td>\n",
       "      <td>225</td>\n",
       "      <td>40.8748</td>\n",
       "      <td>True</td>\n",
       "      <td>520.0</td>\n",
       "      <td>PBE</td>\n",
       "      <td>ASCII text, with very long lines, with no line...</td>\n",
       "      <td>113627.json</td>\n",
       "      <td>globus://e38ee745-6d04-11e5-ba46-22000b92c6ec/...</td>\n",
       "      <td>...</td>\n",
       "      <td>eV/atom</td>\n",
       "      <td>0.222443</td>\n",
       "      <td>bohr/atom</td>\n",
       "      <td>NaN</td>\n",
       "      <td>eV/atom</td>\n",
       "      <td>0.222443</td>\n",
       "      <td>eV/atom</td>\n",
       "      <td>-3.299407</td>\n",
       "      <td>angstrom^3/atom</td>\n",
       "      <td>10.2187</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 47 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   crystal_structure.cross_reference.icsd  crystal_structure.number_of_atoms  \\\n",
       "0                                     NaN                                  2   \n",
       "1                                     NaN                                  4   \n",
       "2                                     NaN                                  2   \n",
       "3                                     NaN                                  4   \n",
       "4                                     NaN                                  4   \n",
       "\n",
       "   crystal_structure.space_group_number  crystal_structure.volume  \\\n",
       "0                                   221                   24.0794   \n",
       "1                                   225                   40.8748   \n",
       "2                                   221                   25.2675   \n",
       "3                                   139                   40.6980   \n",
       "4                                   225                   40.8748   \n",
       "\n",
       "   dft.converged  dft.cutoff_energy dft.exchange_correlation_functional  \\\n",
       "0           True              520.0                                 PBE   \n",
       "1           True              249.8                                 PBE   \n",
       "2           True              249.8                                 PBE   \n",
       "3           True              520.0                                 PBE   \n",
       "4           True              520.0                                 PBE   \n",
       "\n",
       "                                   files.0.data_type files.0.filename  \\\n",
       "0  ASCII text, with very long lines, with no line...       86132.json   \n",
       "1  ASCII text, with very long lines, with no line...      113626.json   \n",
       "2  ASCII text, with very long lines, with no line...      537497.json   \n",
       "3  ASCII text, with very long lines, with no line...       71045.json   \n",
       "4  ASCII text, with very long lines, with no line...      113627.json   \n",
       "\n",
       "                                      files.0.globus         ...           \\\n",
       "0  globus://e38ee745-6d04-11e5-ba46-22000b92c6ec/...         ...            \n",
       "1  globus://e38ee745-6d04-11e5-ba46-22000b92c6ec/...         ...            \n",
       "2  globus://e38ee745-6d04-11e5-ba46-22000b92c6ec/...         ...            \n",
       "3  globus://e38ee745-6d04-11e5-ba46-22000b92c6ec/...         ...            \n",
       "4  globus://e38ee745-6d04-11e5-ba46-22000b92c6ec/...         ...            \n",
       "\n",
       "   oqmd.delta_e.units oqmd.delta_e.value oqmd.magnetic_moment.units  \\\n",
       "0                 NaN                NaN                  bohr/atom   \n",
       "1                 NaN                NaN                  bohr/atom   \n",
       "2                 NaN                NaN                  bohr/atom   \n",
       "3             eV/atom           0.201601                  bohr/atom   \n",
       "4             eV/atom           0.222443                  bohr/atom   \n",
       "\n",
       "  oqmd.magnetic_moment.value  oqmd.stability.units  oqmd.stability.value  \\\n",
       "0                        NaN                   NaN                   NaN   \n",
       "1                        NaN                   NaN                   NaN   \n",
       "2                        NaN                   NaN                   NaN   \n",
       "3                        NaN               eV/atom              0.201601   \n",
       "4                        NaN               eV/atom              0.222443   \n",
       "\n",
       "  oqmd.total_energy.units oqmd.total_energy.value  oqmd.volume_pa.units  \\\n",
       "0                 eV/atom               -3.105143       angstrom^3/atom   \n",
       "1                 eV/atom               -3.272963       angstrom^3/atom   \n",
       "2                 eV/atom               -3.125454       angstrom^3/atom   \n",
       "3                 eV/atom               -3.320249       angstrom^3/atom   \n",
       "4                 eV/atom               -3.299407       angstrom^3/atom   \n",
       "\n",
       "  oqmd.volume_pa.value  \n",
       "0              12.0397  \n",
       "1              10.2187  \n",
       "2              12.6338  \n",
       "3              10.1745  \n",
       "4              10.2187  \n",
       "\n",
       "[5 rows x 47 columns]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 421 entries in the Ag-Be chemical system\n"
     ]
    }
   ],
   "source": [
    "print(\"There are {} entries in the Ag-Be chemical system\".format(len(df)))"
   ]
  }
 ],
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